Abstract
In this paper we introduce the Satirical Language Resource: a dataset containing a balanced collection of satirical and non satirical news texts from various domains. This is the first dataset of this magnitude and scope in the domain of satire. We envision this dataset will facilitate studies on various aspects of of sat- ire in news articles. We test the viability of our data on the task of classification of satire.- Anthology ID:
- L16-1653
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4137–4140
- Language:
- URL:
- https://aclanthology.org/L16-1653
- DOI:
- Cite (ACL):
- Alice Frain and Sander Wubben. 2016. SatiricLR: a Language Resource of Satirical News Articles. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4137–4140, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- SatiricLR: a Language Resource of Satirical News Articles (Frain & Wubben, LREC 2016)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/L16-1653.pdf
- Code
- swubb/SatiricLR